Which maintenance strategy is based on the condition of the equipment?

Predictive maintenance is a strategy that relies on the condition of the equipment to determine when maintenance should be performed. This approach uses data collected from various monitoring techniques, such as vibration analysis, thermal imaging, and oil analysis, to assess the actual condition of equipment. By analyzing this data, technicians can predict when equipment is likely to fail or require servicing, allowing for maintenance to be conducted just in time to avoid unexpected breakdowns.

This proactive strategy contrasts with other maintenance types. Corrective maintenance occurs after a failure has already happened, focusing on fixing issues rather than preventing them. Routine maintenance and scheduled maintenance typically involve performing tasks at predetermined intervals regardless of the equipment's condition, which may lead to unnecessary downtime or service if the equipment is still functional. Thus, predictive maintenance stands out for its emphasis on monitoring and data analysis to optimize asset performance and reliability based on real-time condition assessments.